CHAPTER - 1.................................................................7
Introduction to Statistics
1.1 Meaning of Statistics
1.2 Importance and Limitations of statistics
1.3 Meaning of data, Raw data, Primary data, Secondary data, Attribute and Variable, Types of variables: discrete and continuous
1.4 Meaning of Population and sample
1.5 Introduction to methods of sampling: simple random sampling and stratified random sampling
CHAPTER - 2...........................................................20
Measures of Central Tendency
2.1 Meaning and central tendency
2.2 Statement and computation of measures of central tendency: arithmetic mean, geometric mean, harmonic mean, median and mode
2.3 Partition values: quartiles, deciles and percentiles
2.4 Computation of partition values for given raw data
CHAPTER - 3......................................................................53
Introduction to Probability
3.1 Basic Concepts of Probability: Definitions: Experiment, Sample Space, Events
3.2 Types of Events: Simple, Compound, Mutually Exclusive, and Exhaustive.
3.3 Classical Probability
3.4 Axioms of Probability: Non-negativity, Additivity.
3.5 Applications and Examples
CHAPTER - 4.................................................................76
Conditional Probability and Independence
4.1 Conditional Probability
4.2 Independent Events
4.3 The Law of Total Probability
4.4 Bayes’ Theorem
Practical on Basics of Statistics & Probability for Computer Science.........101
References.................................................................................104
